DocumentCode :
1520658
Title :
Algebraic Derivation of Elfving Theorem on Optimal Experiment Design and Some Connections With Sparse Estimation
Author :
Stoica, Petre ; Babu, Prabhu
Author_Institution :
Dept. of Inf. Technol., Uppsala Univ., Uppsala, Sweden
Volume :
17
Issue :
8
fYear :
2010
Firstpage :
743
Lastpage :
745
Abstract :
Elfving theorem is a fundamental result in the area of optimal experiment design, and yet its available proofs require a number of somewhat indirect geometrical arguments that might detract a potential user from its full understanding and exploitation. In this letter, we provide a direct algebraic proof of this theorem. Furthermore, we make some connections with the ℓ1- norm minimization approach commonly used for sparse estimation, which suggest importation of algorithms and results from the latter area into that of optimal experiment design.
Keywords :
geometric programming; regression analysis; sparse matrices; ℓ1-norm minimization approach; Elfving theorem; algebraic derivation; direct algebraic proof; geometrical arguments; optimal experiment design; sparse estimation; Elfving theorem; optimal experiment design; sparse parameter estimation;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2010.2053533
Filename :
5491077
Link To Document :
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